Senior AI/ML Strategist

3 days ago

Bareilly, Uttar Pradesh, India beBeeSeniorAiMlStrategist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Senior AI/ML Strategist

Overview:

As a Senior AI/ML Strategist, you will lead high-profile projects from concept to execution.

Key Responsibilities:

  • Project Leadership: Define project scope and objectives for AI/ML initiatives.
  • Technical Oversight: Provide hands-on technical guidance and conduct code reviews.
  • Team Management: Supervise and mentor technical teams, fostering a collaborative environment for AI and data engineering.
  • Strategic Planning: Develop and oversee project requirements, schedules, and roadmaps for AI/ML initiatives.
  • Cross-functional Collaboration: Work closely with product management, data science, and engineering teams to define project strategies.
  • Technical Expertise: Drive innovation in areas like foundation models, Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and multi-modal Large Language Models (LLMs).
  • Production Deployment: Oversee the build-out of end-to-end ML systems for production, focusing on scalability, performance, and reliability.
  • Ethical AI: Maintain a strong focus on responsible, transparent, and ethical AI practices throughout the project lifecycle.
  • Performance Monitoring: Track project progress and provide status reports to stakeholders and leadership.

Required Skills & Qualifications:

  • AI/ML Fundamentals: Deep understanding of Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP) concepts.
  • Programming & Data: Proficiency in Python, SQL, and data manipulation libraries such as Pandas and NumPy.
  • AI Technologies: Experience with Large Language Models (LLMs), foundation models, RAG, and prompt engineering.
  • Tools & Platforms: Familiarity with AI experiment tracking tools like Weights & Biases and configuration management tools like Hydra.
  • Project Management: Strong organizational skills, ability to multitask, and experience managing project schedules and scope.
  • Leadership & Communication: Proven ability to lead and inspire technical teams, communicate technical concepts to diverse stakeholders, and align AI initiatives with business objectives.

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